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» Modelling danger and anergy in artificial immune systems
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ESANN
2006
14 years 11 months ago
Immune Network based Ensembles
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
Nicolás García-Pedrajas, Colin Fyfe
BIOSYSTEMS
2008
100views more  BIOSYSTEMS 2008»
14 years 10 months ago
Identification of SPAM messages using an approach inspired on the immune system
In this paper, an immune-inspired model, named IA-AIS (Innate and Adaptive Artificial Immune System) is proposed and applied to the problem of identification of unsolicited bulk e...
Thiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Q...
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 10 months ago
Dendritic Cells for Anomaly Detection
Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrus...
Julie Greensmith, Jamie Twycross, Uwe Aickelin
ICARIS
2009
Springer
15 years 4 months ago
A Sense of 'Danger' for Windows Processes
The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In thi...
Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish...
CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 10 months ago
Detecting Danger: The Dendritic Cell Algorithm
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
Julie Greensmith, Uwe Aickelin, Steve Cayzer